公开(公告)号：US08984136B1

公开(公告)日：2015-03-17

申请号：US13897355

申请日：2013-05-17

Applicant: Google Inc.

Inventor： Anthony G. Francis, Jr. ,  Arshan Poursohi

IPC: G06F15/18 ,  G06F17/30

CPC classification number: G06F17/30542 ,  H04W4/02 ,  H04W4/60

Abstract: Examples disclose systems and methods for recognizing objects. A method may be executable to receive a query from a robot. The query may include identification data associated with an object and contextual data associated with the object. The query may also include situational data. The method may also be executable to identify the object based at least in part on the data in the query received from the robot. Further, the method may be executable to send data associated with the identified object to the robot in response to the query.

Abstract translation: 实例公开了用于识别对象的系统和方法。 可以执行一种方法来从机器人接收查询。 查询可以包括与对象相关联的标识数据和与对象相关联的上下文数据。 该查询还可以包括情境数据。 该方法还可以是可执行的，至少部分地基于从机器人接收的查询中的数据来识别对象。 此外，该方法可以执行以响应于查询将与所识别的对象相关联的数据发送到机器人。

公开(公告)号：US09399290B2

公开(公告)日：2016-07-26

申请号：US14493676

申请日：2014-09-23

Applicant: Google Inc.

Inventor： Anthony G. Francis, Jr. ,  Ryan Hickman ,  Arshan Poursohi

IPC: B25J9/16 ,  G05B23/02 ,  G06F9/50

CPC classification number: B25J9/161 ,  G05B23/0221 ,  G06F9/5072

Abstract: A method includes receiving first sensor data acquired by a first sensor in communication with a cloud computing system. The first sensor data has a first set of associated attributes including a time and a location at which the first sensor data was acquired. The method also includes receiving second sensor data acquired by a second sensor in communication with the cloud computing system. The second data has a second set of associated attributes including a time and a location at which the second sensor data was acquire. Further, the method includes generating a data processing result based at least in part on the first sensor data, the first set of associated attributes, the second sensor data, and the second set of associated attributes and instructing a robot in communication with the cloud computing system to perform a task based at least in part on the data processing result.

Abstract translation: 一种方法包括接收与云计算系统通信的由第一传感器采集的第一传感器数据。 第一传感器数据具有第一组关联属性，包括时间和获取第一传感器数据的位置。 该方法还包括接收由与云计算系统通信的第二传感器采集的第二传感器数据。 第二数据具有包括第二传感器数据获取的时间和位置的第二组关联属性。 此外，该方法包括至少部分地基于第一传感器数据，第一组关联属性，第二传感器数据和第二组关联属性生成数据处理结果，并且指示机器人与云计算通信 系统至少部分地基于数据处理结果执行任务。

公开(公告)号：US20150012132A1

公开(公告)日：2015-01-08

申请号：US14493676

申请日：2014-09-23

Applicant: Google Inc.

Inventor： Anthony G. Francis, Jr. ,  Ryan Hickman ,  Arshan Poursohi

IPC: B25J9/16

CPC classification number: B25J9/161 ,  G05B23/0221 ,  G06F9/5072

Abstract: A method includes receiving first sensor data acquired by a first sensor in communication with a cloud computing system. The first sensor data has a first set of associated attributes including a time and a location at which the first sensor data was acquired. The method also includes receiving second sensor data acquired by a second sensor in communication with the cloud computing system. The second data has a second set of associated attributes including a time and a location at which the second sensor data was acquire. Further, the method includes generating a data processing result based at least in part on the first sensor data, the first set of associated attributes, the second sensor data, and the second set of associated attributes and instructing a robot in communication with the cloud computing system to perform a task based at least in part on the data processing result.

Abstract translation: 一种方法包括接收与云计算系统通信的由第一传感器采集的第一传感器数据。 第一传感器数据具有第一组关联属性，包括时间和获取第一传感器数据的位置。 该方法还包括接收由与云计算系统通信的第二传感器采集的第二传感器数据。 第二数据具有包括第二传感器数据获取的时间和位置的第二组关联属性。 此外，该方法包括至少部分地基于第一传感器数据，第一组关联属性，第二传感器数据和第二组关联属性生成数据处理结果，并且指示机器人与云计算通信 系统至少部分地基于数据处理结果执行任务。

公开(公告)号：US09836483B1

公开(公告)日：2017-12-05

申请号：US14010642

申请日：2013-08-27

Applicant: Google Inc.

Inventor： Ryan Hickman ,  James J. Kuffner, Jr. ,  James R. Bruce ,  Anthony G. Francis, Jr. ,  Arshan Poursohi ,  Chaitanya Gharpure

IPC: G06F17/30

CPC classification number: G06F17/30259

Abstract: Methods and systems for comparing a 3D model of a target object to a shape-search database are provided. An example method includes using a mobile device to acquire a plurality of images of a target object, determining a 3D model based on the images, transmitting a search query that includes the 3D model, and receiving a search query result. In another example method, a server could receive a search query that includes a 3D model of an object, compare the 3D model to a shape-search database, generate a search query result based on the comparison, and transmit the search query result. The search query result could include one or more of: information regarding the target object, information regarding one or more objects similar to the target object, and a suggestion for acquiring additional images of the target object.

公开(公告)号：US09473594B1

公开(公告)日：2016-10-18

申请号：US14547010

申请日：2014-11-18

Applicant: Google Inc.

Inventor： Ryan Hickman ,  Anthony G. Francis, Jr. ,  Thor Lewis

IPC: G05B19/04 ,  H04L29/06 ,  B25J9/16

CPC classification number: B25J9/1664 ,  B25J9/1602 ,  B25J9/1697 ,  G05B2219/39252 ,  G05B2219/40178 ,  G06F17/30268 ,  G06N3/008 ,  H04L67/42 ,  Y10S901/01 ,  Y10S901/47

Abstract: Methods and systems for robot cloud computing are described. Within examples, cloud-based computing generally refers to networked computer architectures in which application execution and storage may be divided, to some extent, between client and server devices. A robot may be any device that has a computing ability and interacts with its surroundings with an actuation capability (e.g., electromechanical capabilities). A client device may be configured as a robot including various sensors and devices in the forms of modules, and different modules may be added or removed from robot depending on requirements. In some example, a robot may be configured to receive a second device, such as mobile phone, that may be configured to function as an accessory or a “brain” of the robot. A robot may interact with the cloud to perform any number of actions, such as to share information with other cloud computing devices.

Abstract translation: 描述了机器人云计算的方法和系统。 在实例中，基于云的计算通常是指网络计算机体系结构，其中应用程序执行和存储在一定程度上可以在客户端和服务器设备之间划分。 机器人可以是具有计算能力并与其周围环境具有致动能力（例如机电能力）相互作用的任何装置。 客户端设备可以被配置为包括模块形式的各种传感器和设备的机器人，并且可以根据需要从机器人添加或移除不同的模块。 在一些示例中，机器人可以被配置为接收可被配置为用作机器人的附件或“大脑”的第二设备，诸如移动电话。 机器人可以与云交互以执行任何数量的动作，例如与其他云计算设备共享信息。